Huiying Gao
- Mechanics of Materials top 5%
- Mechanical Engineering top 10%
- Civil and Structural Engineering top 5%
- Statistics, Probability and Uncertainty top 2%
- Materials Chemistry
- Co-authors
- Hong‐Zhong HuangShun‐Peng ZhuZhiqiang LvRong YuanYan‐Feng LiHaikun WangHaiqing LiXiaoqiang Zhang
- Topics
- Fatigue and fracture mechanics (18 papers)Probabilistic and Robust Engineering Design (12 papers)Reliability and Maintenance Optimization (8 papers)
- Cited by
- Statistics, Probability and UncertaintyMechanics of MaterialsCivil and Structural Engineering
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Huiying Gao
39 papers receiving 625 citations
Peers
Comparison fields: 5 of 92
- Mechanics of Materials 421
- Mechanical Engineering 267
- Civil and Structural Engineering 178
- Statistics, Probability and Uncertainty 158
- Materials Chemistry 92
Countries citing papers authored by Huiying Gao
This map shows the geographic impact of Huiying Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huiying Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiying Gao more than expected).
Fields of papers citing papers by Huiying Gao
This network shows the impact of papers produced by Huiying Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huiying Gao. The network helps show where Huiying Gao may publish in the future.
Co-authorship network of co-authors of Huiying Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Huiying Gao. A scholar is included among the top collaborators of Huiying Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huiying Gao. Huiying Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 23 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 39 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 61 | |
| 19 | 101 | |
| 20 | Research of Procedure Quality Forecast Based on the Grey Theory and BP Neural Networks | 1 |
About Huiying Gao
Huiying Gao is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Safety, Risk, Reliability and Quality, having authored 41 papers that have together received 638 indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (18 papers), Probabilistic and Robust Engineering Design (12 papers) and Reliability and Maintenance Optimization (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (158 citations), Mechanics of Materials (421 citations) and Civil and Structural Engineering (178 citations). Huiying Gao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hong‐Zhong Huang, Shun‐Peng Zhu, Zhiqiang Lv, Rong Yuan, Yan‐Feng Li, Haikun Wang, Haiqing Li, Xiaoqiang Zhang, Hong‐Zhong Huang and Qi Wang. Their work appears in journals such as Food Chemistry, IEEE Access and Food and Chemical Toxicology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.